Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Methodology
2.2.1. Evaluation of the Intra-Annual Runoff Distribution Degrees of Evenness
- (1)
- Group and sort historical monthly flow data. Divide the 12 monthly flows in the ith year into a group, and sort the monthly flows into a group in ascending order. The ascending runoff series of the ith year is , where i represents the ith year, .
- (2)
- Accumulate the ascending runoff data in each group:
- (3)
- Draw a Lorenz curve of the annual distribution for monthly flow. Take k/12 as the abscissa, as the ordinate, and draw a Lorenz curve of the annual distribution for monthly flow. The Lorenz curve is shown in Figure 3.
- (4)
- The ith year runoff Gini coefficient GIi is computed as:
2.2.2. Hydrological Alteration Diagnosis System
2.2.3. Ecological Flow Calculation Method
- In the range of the variability approach (RVA) method, ecological flow calculations should consider the hydrological regime. Parameters of the indicators of the hydrologic alteration (IHA) method are all closely related to runoff, and monthly flow influences river-living organisms, soil, etc. Therefore, the RVA analyses the monthly flow frequency distribution of each month and selects the flow corresponding to 25% and 75% in the frequency distribution as the upper and lower limits of the monthly flow, respectively [26]. Ecological flow is calculated as:
- The steps for ecological flow calculation using the monthly frequency method (MFM) are as follows:
- (1)
- Calculate the monthly flow distribution empirical frequency of the jth month.
- (2)
- Select the probability distribution function and draw the monthly flow distribution theoretical frequency curve of the jth month. The Pearson III distribution curve and generalized extreme value (GEV) distribution curve are commonly used. The GEV distribution curve is better fitting with the runoff data [27].
- (3)
- Select the flow corresponding to the maximum frequency in the GEV distribution curve as the ecological flow of the jth month [28].
- The annual daily mean flow frequency method (ADMFFM) assumes that daily flow may appear in a month with a certain probability. The frequency of daily flow in the jth month of the historical runoff series is calculated and the daily flow corresponding to 60% is selected as the ecological flow [24] of the jth month, . The ecological flow calculated using this method meets the ecological water requirements in different cases.
- In the comprehensive ecological flow calculation method, ecological flow maintains riverine ecological function. Too much or too little will affect the riverine ecosystem. Therefore, the weights of each ecological flow calculation method are used to comprehensively calculate ecological flow. The steps for this method are as follows:
- (1)
- Evaluate ecological flows from RVA, MFM, and ADMFFM, and the comprehensive evaluation values of RVA, MFM, and ADMFFM of the jth month are , and , respectively.
- (2)
- Calculate the comprehensive ecological flow of the jth month as follows:
2.2.4. Weight Calculation of Comprehensive Ecological Flow
- We first determined the deviation rate of monthly flow. The median of the natural daily mean flow series in the jth month of N years was called the standard value. This index is a ratio of ecological flow in the jth month to the standard value. It reflects the deviation degree between the ecological flow and the natural flow in the same period [28,29]. It is computed as follows:
- (1)
- Calculate the natural daily mean flow in the jth month of N years , where i is the year, i = 1, 2, …, N; N is equal to the length of the runoff series; and j is the month, j = 1, 2, …, 12;
- (2)
- Sort in the ascending order , (, n is the serial order), where the standard value of the jth month is ;
- (3)
- The calculation formula of the deviation rate of the monthly flow is:
- Satisfaction degree of the monthly ecological flow. This a ratio of the days where the natural flow is equal to or greater than the ecological flow to the total number of days in the same month. The formula to calculate the satisfaction of the monthly ecological water requirement is:
- Suitability degree of the monthly ecological flow. The monthly ecological flow discrete coefficient is the sum of the discrete degree between the median and the characteristic extreme value of the ecological flow and natural flow. It reflects the suitability degree between the ecological flow and natural flow in a month.The suitability degree of the monthly ecological flow is computed as:This index reflects the degree of suitability between the total ecological flow requirement and the natural flow in a month. When is 1, the total ecological flow requirement and the natural flow completely match. When is 0, the flow is completely unsuitable. A discrete coefficient greater than 10 can be considered completely discrete and the value of the discrete coefficient is equal to 10.
- Ecological flow comprehensive evaluation. The above indexes compare the ecological flow and natural flow from different aspects. The deviation rate of the monthly flow evaluates the degree and magnitude of deviation between the ecological flow and natural flow. The satisfaction degree of the monthly ecological flow temporally analyses the degree of satisfaction between the ecological flow and natural flow. The suitability degree of the monthly ecological flow evaluates the degree of suitability between the ecological flow and natural flow in discrete degrees. The above three indexes were synthesized into a comprehensive index to evaluate ecological flow in the jth month. The formula for calculating is:
- Weight calculation of the comprehensive ecological flow. The geometric mean method was used to calculate the weights for each ecological flow calculation method result.
3. Results
3.1. Hydrological Alteration Diagnosis System
3.2. Results of Ecological Flow Calculation
4. Discussion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A. An Example for GI Value Calculation
Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Monthly mean flow | 0.08 | 0.009 | 0.027 | 18.4 | 37.7 | 27.4 | 89.5 | 60.1 | 47.5 | 18.6 | 6.6 | 0.57 |
Month | Order | Monthly Flow | Accumulated Value | Runoff Cumulative Frequency | Time Cumulative Frequency |
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) |
2 | 1 | 0.009 | 0.009 | 0.000002965 | 0.083333 |
3 | 2 | 0.027 | 0.036 | 0.000117461 | 0.166667 |
1 | 3 | 0.08 | 0.116 | 0.000378484 | 0.25 |
12 | 4 | 0.57 | 0.686 | 0.002238275 | 0.333333 |
11 | 5 | 6.6 | 7.286 | 0.023772701 | 0.416667 |
4 | 6 | 18.4 | 25.686 | 0.08380807 | 0.5 |
10 | 7 | 18.6 | 44.286 | 0.144495997 | 0.583333 |
6 | 8 | 27.4 | 71.686 | 0.233896491 | 0.666667 |
5 | 9 | 37.7 | 109.386 | 0.356903741 | 0.75 |
9 | 10 | 47.5 | 156.886 | 0.51188635 | 0.833333 |
8 | 11 | 60.1 | 216.986 | 0.707980136 | 0.916667 |
7 | 12 | 89.5 | 306.486 | 1 | 1 |
Baoqing | Baoan | Caizuizi | Hongqiling | |
---|---|---|---|---|
1956 | 0.575167 | 0.542804 | 0.465529 | 0.428152 |
1957 | 0.663721 | 0.599417 | 0.562583 | 0.477699 |
1958 | 0.654811 | 0.621435 | 0.5955 | 0.494503 |
1959 | 0.553547 | 0.530033 | 0.65446 | 0.524602 |
1960 | 0.572132 | 0.553499 | 0.437941 | 0.414069 |
1961 | 0.665426 | 0.646424 | 0.43319 | 0.411643 |
1962 | 0.559209 | 0.553148 | 0.496531 | 0.443979 |
1963 | 0.616581 | 0.515054 | 0.352364 | 0.370382 |
1964 | 0.6856 | 0.65623 | 0.630919 | 0.512584 |
1965 | 0.603178 | 0.580838 | 0.377696 | 0.383314 |
1966 | 0.650194 | 0.545597 | 0.43394 | 0.412027 |
1967 | 0.610227 | 0.606012 | 0.713139 | 0.554558 |
1968 | 0.634882 | 0.469468 | 0.54839 | 0.470453 |
1969 | 0.42967 | 0.441901 | 0.348785 | 0.368555 |
1970 | 0.738535 | 0.615852 | 0.686196 | 0.540803 |
1971 | 0.607347 | 0.588313 | 0.469413 | 0.430135 |
1972 | 0.617986 | 0.543292 | 0.564369 | 0.47861 |
1973 | 0.607321 | 0.607421 | 0.375552 | 0.382219 |
1974 | 0.555022 | 0.582396 | 0.287487 | 0.337262 |
1975 | 0.713496 | 0.661335 | 0.71216 | 0.554058 |
1976 | 0.684477 | 0.570556 | 0.713834 | 0.554912 |
1977 | 0.595298 | 0.538128 | 0.83657 | 0.617569 |
1978 | 0.520268 | 0.545812 | 0.636622 | 0.515496 |
1979 | 0.611183 | 0.632446 | 0.61084 | 0.470432 |
1980 | 0.515341 | 0.534083 | 0.627068 | 0.44741 |
1981 | 0.613004 | 0.581639 | 0.597752 | 0.603207 |
1982 | 0.600386 | 0.556539 | 0.759367 | 0.617718 |
1983 | 0.697738 | 0.628078 | 0.655349 | 0.477994 |
1984 | 0.524324 | 0.410819 | 0.480368 | 0.389041 |
1985 | 0.605347 | 0.513835 | 0.584753 | 0.416934 |
1986 | 0.547696 | 0.493103 | 0.681788 | 0.551018 |
1987 | 0.599018 | 0.558052 | 0.476933 | 0.445092 |
1988 | 0.632303 | 0.533406 | 0.635709 | 0.492935 |
1989 | 0.630692 | 0.412365 | 0.714885 | 0.527368 |
1990 | 0.537402 | 0.507299 | 0.587728 | 0.455828 |
1991 | 0.705846 | 0.692314 | 0.561183 | 0.567586 |
1992 | 0.708555 | 0.63015 | 0.744296 | 0.472671 |
1993 | 0.577032 | 0.445792 | 0.624847 | 0.508258 |
1994 | 0.631919 | 0.582762 | 0.600289 | 0.546941 |
1995 | 0.487417 | 0.452052 | 0.668352 | 0.472467 |
1996 | 0.717055 | 0.590542 | 0.719361 | 0.550217 |
1997 | 0.626837 | 0.558618 | 0.6547 | 0.407772 |
1998 | 0.712293 | 0.465754 | 0.721465 | 0.589609 |
1999 | 0.654239 | 0.651277 | 0.697595 | 0.650854 |
2000 | 0.723293 | 0.637565 | 0.667018 | 0.640227 |
2001 | 0.710492 | 0.629317 | 0.704367 | 0.595746 |
2002 | 0.564298 | 0.535856 | 0.554664 | 0.500066 |
2003 | 0.581597 | 0.546915 | 0.630194 | 0.512214 |
2004 | 0.585974 | 0.549713 | 0.630597 | 0.51242 |
2005 | 0.585971 | 0.549178 | 0.736604 | 0.566536 |
2006 | 0.631846 | 0.558946 | 0.637788 | 0.516091 |
2007 | 0.621954 | 0.623716 | 0.722809 | 0.559494 |
2008 | 0.586923 | 0.597498 | 0.738638 | 0.567575 |
2009 | 0.604515 | 0.639023 | 0.71146 | 0.622316 |
2010 | 0.680025 | 0.651626 | 0.793393 | 0.595616 |
2011 | 0.652022 | 0.546681 | 0.692261 | 0.555792 |
2012 | 0.545863 | 0.567307 | 0.683058 | 0.539201 |
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Diagnosis Method | Intra-Annual Runoff Distribution of GI (1956–2012) | |||||
---|---|---|---|---|---|---|
Station | ||||||
Baoqing | Baoan | Hongqiling | Caizuizi | |||
Primary diagnosis | Hurst coefficient | 0.741 | 0.896 | 0.727 | 0.615 | |
Alteration existence | Yes | Yes | Yes | Yes | ||
Detailed diagnosis | Jump diagnosis | Sliding F test | 1966 (+) | 1990 (+) | 1987 (−) | 1990 (−) |
Sliding T test | 1966 (−) | 1998 (−) | 2009 (−) | 1981 (+) | ||
Lee–Heghinan method | 1966 (+) | 1990 (+) | 1989 (+) | 1990 (+) | ||
Orderly cluster method | 1966 (+) | 1974 (−) | 1987 (+) | 1990 (−) | ||
R/S | 1989 (+) | 1990 (−) | 1979 (−) | 1990 (+) | ||
Brown–Forsythe | 1964(−) | 1990(+) | 1987(+) | 1992 (−) | ||
Sliding run test method | 1992 (+) | 1990 (−) | 1992 (+) | 1985(+) | ||
Sliding rank test method | 1985 (+) | 1992 (+) | 1987 (+) | 1991 (+) | ||
Optimum information dichotomy | 1966 (−) | 1989 (+) | 1989 (−) | 1990 (+) | ||
Mann–Kendall | 1992 (+) | 1992 (−) | 1987 (−) | 1991 (−) | ||
BSYES | 1966 (+) | 1989 (−) | 1987 (+) | 1989 (+) | ||
Trend diagnosis | Trend alteration degree | Significant alteration | Significant alteration | Significant alteration | Significant alteration | |
Correlation coefficient method | (+) | (+) | (+) | (+) | ||
Spearman | (+) | (+) | (−) | (+) | ||
Kendall | (+) | (+) | (+) | (+) | ||
Jump point | 1966 | 1990 | 1987 | 1990 | ||
Jump | Comprehensive weight | 0.55 | 0.67 | 0.42 | 0.34 | |
Comprehensive significance | 4 (+) | 5 (+) | 4 (+) | 4 (+) | ||
Trend | Comprehensive significance | 3 (+) | 3 (+) | 2 (−) | 3 (+) | |
Comprehensive diagnosis | Alteration form selection | Jump efficiency coefficient/% | 45.3 | 35.1 | 52.5 | 50.3 |
Trend efficiency coefficient/% | 38.3 | 46.2 | 39.1 | 37.5 | ||
Diagnosis result | 1966 | 1990 | 1987 | 1990 |
Station | Method | April | May | June | July | ||||
(1) | (2) | (1) | (2) | (1) | (2) | (1) | (2) | ||
Baoqing | RVA | 10.05 | 6.89 | 15.81 | 11.48 | 5.67 | 6.80 | 2.29 | 1.28 |
MFM | 11.19 | 6.85 | 17.99 | 12.85 | 11.95 | 7.72 | 7.39 | 4.95 | |
ADMFFM | 7.64 | 5.90 | 16.84 | 12.55 | 8.35 | 6.55 | 6.52 | 4.35 | |
Baoan | RVA | 6.95 | 4.92 | 6.98 | 4.94 | 2.61 | 1.12 | 2.68 | 1.15 |
MFM | 4.32 | 3.63 | 8.43 | 6.02 | 6.03 | 4.44 | 4.42 | 3.36 | |
ADMFFM | 5.32 | 4.92 | 6.98 | 5.44 | 2.61 | 2.94 | 2.68 | 2.54 | |
Hongqiling | RVA | 8.26 | 8.61 | 15.11 | 12.53 | 6.61 | 3.35 | 5.69 | 0.75 |
MFM | 10.17 | 9.18 | 16.59 | 12.94 | 5.62 | 5.39 | 5.04 | 3.82 | |
ADMFFM | 7.61 | 7.60 | 14.72 | 11.7 | 8.21 | 6.35 | 6.21 | 4.70 | |
Caizuizi | RVA | 57.08 | 37.18 | 30.13 | 38.18 | 30.10 | 32.47 | 17.44 | 29.62 |
MFM | 35.28 | 34.94 | 62.39 | 55.30 | 43.69 | 39.44 | 33.76 | 30.13 | |
ADMFFM | 42.31 | 38.65 | 67.89 | 56 | 35.74 | 31.85 | 29.32 | 28.3 | |
Station | Method | August | September | October | November | ||||
(1) | (2) | (1) | (2) | (1) | (2) | (1) | (2) | ||
Baoqing | RVA | 12.21 | 5.14 | 7.02 | 3.25 | 1.32 | 0.49 | 2.22 | 0.98 |
MFM | 15.42 | 11.66 | 7.44 | 5.09 | 4.44 | 3.01 | 2.26 | 1.63 | |
ADMFFM | 14.82 | 11.65 | 9.42 | 5.5 | 3.22 | 2.03 | 3.82 | 2.5 | |
Baoan | RVA | 5.89 | 2.97 | 5.81 | 8.3 | 2.16 | 1.46 | 2.13 | 1.45 |
MFM | 8.37 | 6.51 | 4.56 | 4.22 | 3.91 | 3.51 | 2.16 | 2.08 | |
ADMFFM | 5.89 | 5.04 | 5.81 | 5.60 | 2.16 | 2.12 | 2.13 | 1.86 | |
Hongqiling | RVA | 10.26 | 5.27 | 5.49 | 1.37 | 4.35 | 2.67 | 2.46 | 1.03 |
MFM | 9.76 | 9.33 | 4.78 | 5.49 | 4.66 | 4.08 | 2.22 | 2.41 | |
ADMFFM | 12.63 | 11.75 | 6.34 | 5.75 | 3.92 | 3.90 | 3.12 | 2.55 | |
Caizuizi | RVA | 17.36 | 35.66 | 15.91 | 26.41 | 15.18 | 19.09 | 33.42 | 19.10 |
MFM | 33.99 | 33.05 | 31.41 | 28.60 | 29.11 | 26.61 | 19.49 | 20.74 | |
ADMFFM | 39.45 | 37.8 | 21.22 | 22.05 | 19.41 | 22.35 | 23.33 | 22 |
Station | Method | April | May | June | July | ||||
(1) | (2) | (1) | (2) | (1) | (2) | (1) | (2) | ||
Baoqing | RVA | 0.31 | 0.29 | 0.44 | 0.32 | 0.44 | 0.31 | 0.42 | 0.32 |
MFM | 0.25 | 0.35 | 0.32 | 0.43 | 0.30 | 0.40 | 0.24 | 0.42 | |
ADMFFM | 0.44 | 0.29 | 0.24 | 0.32 | 0.26 | 0.31 | 0.34 | 0.31 | |
Baoan | RVA | 0.32 | 0.34 | 0.41 | 0.38 | 0.39 | 0.41 | 0.31 | 0.36 |
MFM | 0.29 | 0.34 | 0.35 | 0.39 | 0.17 | 0.43 | 0.41 | 0.39 | |
ADMFFM | 0.39 | 0.35 | 0.24 | 0.39 | 0.44 | 0.43 | 0.28 | 0.35 | |
Hongqiling | RVA | 0.31 | 0.34 | 0.34 | 0.42 | 0.29 | 0.39 | 0.31 | 0.36 |
MFM | 0.27 | 0.33 | 0.33 | 0.42 | 0.29 | 0.42 | 0.29 | 0.38 | |
ADMFFM | 0.42 | 0.29 | 0.33 | 0.32 | 0.42 | 0.31 | 0.40 | 0.30 | |
Caizuizi | RVA | 0.34 | 0.34 | 0.42 | 0.39 | 0.31 | 0.46 | 0.38 | 0.38 |
MFM | 0.37 | 0.35 | 0.22 | 0.34 | 0.24 | 0.44 | 0.24 | 0.37 | |
ADMFFM | 0.29 | 0.36 | 0.36 | 0.35 | 0.45 | 0.46 | 0.38 | 0.40 | |
Station | Method | August | September | October | November | ||||
(1) | (2) | (1) | (2) | (1) | (2) | (1) | (2) | ||
Baoqing | RVA | 0.34 | 0.29 | 0.41 | 0.30 | 0.32 | 0.31 | 0.43 | 0.32 |
MFM | 0.42 | 0.40 | 0.23 | 0.39 | 0.25 | 0.42 | 0.27 | 0.43 | |
ADMFFM | 0.24 | 0.30 | 0.36 | 0.30 | 0.43 | 0.31 | 0.30 | 0.33 | |
Baoan | RVA | 0.43 | 0.41 | 0.18 | 0.40 | 0.29 | 0.37 | 0.29 | 0.41 |
MFM | 0.31 | 0.37 | 0.41 | 0.42 | 0.41 | 0.41 | 0.42 | 0.43 | |
ADMFFM | 0.26 | 0.38 | 0.41 | 0.41 | 0.30 | 0.39 | 0.29 | 0.43 | |
Hongqiling | RVA | 0.25 | 0.42 | 0.20 | 0.39 | 0.30 | 0.42 | 0.25 | 0.33 |
MFM | 0.42 | 0.42 | 0.43 | 0.42 | 0.41 | 0.43 | 0.33 | 0.34 | |
ADMFFM | 0.33 | 0.31 | 0.37 | 0.31 | 0.29 | 0.31 | 0.42 | 0.30 | |
Caizuizi | RVA | 0.40 | 0.39 | 0.24 | 0.33 | 0.29 | 0.38 | 0.23 | 0.31 |
MFM | 0.40 | 0.36 | 0.41 | 0.37 | 0.30 | 0.37 | 0.37 | 0.33 | |
ADMFFM | 0.20 | 0.37 | 0.35 | 0.36 | 0.41 | 0.40 | 0.40 | 0.38 |
Month | Baoqing | Baoan | Hongqiling | Caizuizi | ||||
---|---|---|---|---|---|---|---|---|
(1) | (2) | (1) | (2) | (1) | (2) | (1) | (2) | |
4 | 27.26 | 16.89 | 16.14 | 14.67 | 25.86 | 14.57 | 18.12 | 14.61 |
5 | 14.63 | 19.35 | 12.23 | 16.57 | 32.43 | 28.07 | 21.86 | 12.87 |
6 | 16.15 | 17.29 | 14.97 | 16.12 | 24.79 | 34.65 | 23.44 | 35.32 |
7 | 15.89 | 16.23 | 14.03 | 23.87 | 24.68 | 33.74 | 24.34 | 33.47 |
8 | 19.55 | 24.56 | 18.10 | 22.48 | 27.65 | 32.80 | 22.80 | 23.49 |
9 | 12.56 | 18.96 | 19.57 | 23.63 | 30.08 | 36.36 | 21.42 | 26.31 |
10 | 28.65 | 16.23 | 12.18 | 14.35 | 26.79 | 13.57 | 22.62 | 14.06 |
11 | 28.63 | 15.99 | 12.70 | 14.30 | 16.36 | 14.73 | 15.98 | 13.04 |
Average | 20.42 | 18.19 | 14.99 | 18.25 | 26.08 | 26.06 | 21.32 | 21.65 |
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Xing, Z.; Wang, Y.; Gong, X.; Wu, J.; Ji, Y.; Fu, Q. Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration. Water 2018, 10, 1212. https://doi.org/10.3390/w10091212
Xing Z, Wang Y, Gong X, Wu J, Ji Y, Fu Q. Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration. Water. 2018; 10(9):1212. https://doi.org/10.3390/w10091212
Chicago/Turabian StyleXing, Zhenxiang, Yinan Wang, Xinglong Gong, Jingyan Wu, Yi Ji, and Qiang Fu. 2018. "Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration" Water 10, no. 9: 1212. https://doi.org/10.3390/w10091212